The RSNA Imaging AI Certificate Program

Enroll in the Foundational Certificate course today and make plans to strengthen your AI IQ with the Advanced Certificate course — launching January 2023.

Pricing & enrollment

The first-ever, radiology-specific AI certificate program

The RSNA Imaging AI Certificate Program blends a case-based curriculum with practical application and delivers a pathway for all radiologists—even those who don’t consider themselves tech savvy — to understand how to leverage AI for their practice and careers.

No matter where you are in your path, RSNA can help take you to the next step through a proven course structure. Learn how to make AI work for you and enroll in the Foundational Certificate course today to gain a foundational background or continue your AI education with the Advanced Certificate course.

Enrollment for the Advanced Certificate opens January 2023

Unsure which course to begin with? Test your knowledge to discover where you should start and sign up to receive updates about the program.

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Foundational Certificate course details

The RSNA Imaging AI Foundational Certificate is the first certificate course offered within the RSNA Imaging AI Certificate Program. The course is designed to help you learn how to confidently evaluate, deploy, monitor and use AI tools.
Foundational knowledge for all radiologists
Ideal for radiology professionals seeking a foundational background in the use of AI products in clinical practice.
Case-based modules
Learners move through a series of six case-based modules. Each module consists of self-paced, on-demand videos and interactive coursework.
Earn credit and advance
Upon completion of the six-module curriculum, students earn the Foundational Certificate. This activity has been approved for AMA PRA Category 1 Credits™️

Curriculum

Structured in an asynchronous learning environment through a blend of on-demand videos and hands-on coursework, the curriculum in the Foundational Certificate course provides the essential knowledge and experience you need to gain competency working with AI tools. View the learning objectives for additional information.

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Approximately 94% of recent alumni who completed the Foundational Certificate course reported it was applicable to their practice and 90% said they would likely make changes to their practice based on the course.

Faculty

Our expert program directors and faculty deliver a supportive and structured radiology-specific curriculum you can trust.

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“This course will open doors to new knowledge and understanding of how AI tools work, how they’re defined and what their limitations are.”

—Matthew B. Morgan, MD; Program director

 

“This program provides the background needed to evaluate the usefulness and accuracy of AI algorithms and helps develop realistic expectations of how AI software may change clinical workflows.”

—Linda Moy, MD; Program director

 

George Shih, MD; Program director

“Our unique approach is focused toward the mainstream radiologist, blending learning with actual practice-based applications. It's unlike any other AI course available today.”

—George Shih, MD; Program director

Disclosure: Dr. Shih is a paid scientific advisory board member, consultant and owns stock in MD.ai.

 

Hear from the program directors

Matthew Morgan, MD, and Linda Moy, MD, discuss the importance of radiologists becoming more familiar with AI, the unique benefits of the RSNA Imaging AI Certificate Program and how radiologists can put their new skills to use.

FAQs

How can we help? Check out our FAQ page to get your questions answered or contact us for assistance.

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